Hybrid Machine Learning Engineer

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About the role

  • Intern developing machine learning tools within ADEO Services' AI Factory team. Collaborating on software quality and automation alongside a senior ML engineer.

Responsibilities

  • As part of the AI Factory squad, your role is to turn Data Scientists' proof-of-concepts into robust production services.
  • Actively participate in code reviews to adopt and promote team standards (clean code, unit and integration tests).
  • Help optimize our inference services using FastAPI and our batch serving processes.
  • Contribute to the development of our internal toolbox based on ZenML.
  • Maintain and improve our internal Python library dedicated to automated deployments (online serving).
  • Provide Data Scientists with validation and testing tools to secure every production release.
  • Automate the full pipeline, from data fetching to the Model Registry.
  • Containerize services and gain experience managing deployments on our Kubernetes clusters using our orchestration tools.
  • Build skills in configuring trusted environments (Service Accounts, IAM roles on GCP) and automating infrastructure with Terraform.

Requirements

  • Student in an engineering program or equivalent (minimum Bachelor's level) specializing in Computer Science / AI.
  • You consider yourself more of a developer building tools for ML than an algorithms researcher.
  • Proficient in Python and experienced with Docker.
  • Some experience with CI/CD (GitHub Actions) and a strong commitment to clean code.
  • Understand how an orchestrator works (ZenML, Airflow, or Kubeflow) and know how to query BigQuery.
  • Interested in Kubernetes and Terraform; eager to move from theory to hands-on work on production clusters.
  • Critical thinker: comfortable challenging code in reviews while remaining constructive and solution-oriented.
  • Service-oriented: you enjoy creating tools and libraries that make life easier for others (Data Scientists).

Benefits

  • Meaningful assignments and mentoring throughout your internship/apprenticeship by a subject-matter expert in your learning area — in short, join a learning organization!
  • A Stud'ADEO community run by students themselves and the Campus team.
  • Dedicated support to help your employability after the apprenticeship/internship.
  • 13th month salary, profit-sharing bonus and benefits, works council (CSE) perks, meal vouchers, etc.
  • An innovative workplace that inspires creativity and promotes collaboration: Terradeo!

Job title

Machine Learning Engineer

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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